Orthogonal Decomposition Methods to Analyze PIV, LDV, and Thermography Data of Thermally Driven Rotating Annulus Laboratory Experiments
Contribution to Books
This chapter focuses on the experimental apparatus and the governing nondimensional parameters. It presents a summary of laboratory studies on annulus flows we performed over the previous few years. In particular, the chapter describes the multivariate orthogonal decomposition techniques we applied to the laboratory data. It analyzes particle image velocimetry (PIV) and laser Doppler velocimetry (LDV) data at the transition between two different wave regimes by applying the complex EOF analysis and multivariate singular system analysis (MSSA). The chapter examines data from an annulus with a broken azimuthal symmetry. It decomposes surface temperature data of the annulus flow in principal oscillation patterns (POPs), that is, the linear eigenmodes, and in modes of maximal growth, called singular vectors (SVs).
This document was originally published in Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations by Wiley on behalf of the American Geophysical Union. Copyright restrictions may apply. doi: 10.1002/9781118856024.ch17
Harlander, Uwe; von Larcher, Thomas; Wright, Grady B.; Hoff, Michael; Alexandrov, Kiril; and Egbers, Christoph. (2015). "Orthogonal Decomposition Methods to Analyze PIV, LDV, and Thermography Data of Thermally Driven Rotating Annulus Laboratory Experiments". Modeling Atmospheric and Oceanic Flows: Insights from Laboratory Experiments and Numerical Simulations, 315-336. https://doi.org/10.1002/9781118856024.ch17